Datasets:
tasksource
/
streusle

Dataset card Data Studio Files
xet
 Community
sentence1
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They did a very bad job with my hair and [TARGET] were [/TARGET] extremely rude when I went back to ask them why it did n't work for my hair .
v.stative
{"id": "reviews-160442-0003:10", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-160442", "token_indices": [10]}
They did a very bad job with my hair and were extremely rude when I [TARGET] went [/TARGET] back to ask them why it did n't work for my hair .
v.motion
{"id": "reviews-160442-0003:15", "lemma": "go", "part_of_speech": "v", "split_group_id": "reviews-160442", "token_indices": [15]}
They did a very bad job with my hair and were extremely rude when I went back to [TARGET] ask [/TARGET] them why it did n't work for my hair .
v.communication
{"id": "reviews-160442-0003:18", "lemma": "ask", "part_of_speech": "v", "split_group_id": "reviews-160442", "token_indices": [18]}
They did a very bad job with my hair and were extremely rude when I went back to ask them why it did n't [TARGET] work [/TARGET] for my hair .
v.stative
{"id": "reviews-160442-0003:24", "lemma": "work", "part_of_speech": "v", "split_group_id": "reviews-160442", "token_indices": [24]}
They did a very bad job with my hair and were extremely rude when I went back to ask them why it did n't work for my [TARGET] hair [/TARGET] .
n.BODY
{"id": "reviews-160442-0003:27", "lemma": "hair", "part_of_speech": "n", "split_group_id": "reviews-160442", "token_indices": [27]}
They [TARGET] did [/TARGET] [TARGET] a [/TARGET] very bad [TARGET] job [/TARGET] with my hair and were extremely rude when I went back to ask them why it did n't work for my hair .
v.body
{"id": "reviews-160442-0003:1,2,5", "lemma": "do a job", "part_of_speech": "v", "split_group_id": "reviews-160442", "token_indices": [1, 2, 5]}
Rude , insensitive , discourteous [TARGET] people [/TARGET] !!!!!
n.PERSON
{"id": "reviews-160442-0004:5", "lemma": "people", "part_of_speech": "n", "split_group_id": "reviews-160442", "token_indices": [5]}
When we [TARGET] walked [/TARGET] in , the person behind desk said : " oh well , you must wait , I am in the middle of something . "
v.motion
{"id": "reviews-162422-0003:2", "lemma": "walk", "part_of_speech": "v", "split_group_id": "reviews-162422", "token_indices": [2]}
When we walked in , the [TARGET] person [/TARGET] behind desk said : " oh well , you must wait , I am in the middle of something . "
n.PERSON
{"id": "reviews-162422-0003:6", "lemma": "person", "part_of_speech": "n", "split_group_id": "reviews-162422", "token_indices": [6]}
When we walked in , the person behind [TARGET] desk [/TARGET] said : " oh well , you must wait , I am in the middle of something . "
n.LOCATION
{"id": "reviews-162422-0003:8", "lemma": "desk", "part_of_speech": "n", "split_group_id": "reviews-162422", "token_indices": [8]}
When we walked in , the person behind desk [TARGET] said [/TARGET] : " oh well , you must wait , I am in the middle of something . "
v.communication
{"id": "reviews-162422-0003:9", "lemma": "say", "part_of_speech": "v", "split_group_id": "reviews-162422", "token_indices": [9]}
When we walked in , the person behind desk said : " oh well , you must [TARGET] wait [/TARGET] , I am in the middle of something . "
v.cognition
{"id": "reviews-162422-0003:17", "lemma": "wait", "part_of_speech": "v", "split_group_id": "reviews-162422", "token_indices": [17]}
When we walked in , the person behind desk said : " oh well , you must wait , I [TARGET] am [/TARGET] in the middle of something . "
v.stative
{"id": "reviews-162422-0003:20", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-162422", "token_indices": [20]}
After a good few [TARGET] minutes [/TARGET] , he asked : " what do you want ? "
n.TIME
{"id": "reviews-162422-0004:4", "lemma": "minute", "part_of_speech": "n", "split_group_id": "reviews-162422", "token_indices": [4]}
After a good few minutes , he [TARGET] asked [/TARGET] : " what do you want ? "
v.communication
{"id": "reviews-162422-0004:7", "lemma": "ask", "part_of_speech": "v", "split_group_id": "reviews-162422", "token_indices": [7]}
After a good few minutes , he asked : " what do you [TARGET] want [/TARGET] ? "
v.cognition
{"id": "reviews-162422-0004:13", "lemma": "want", "part_of_speech": "v", "split_group_id": "reviews-162422", "token_indices": [13]}
Somewhere in between his [TARGET] rudeness [/TARGET] he asked if we smoked .
n.ATTRIBUTE
{"id": "reviews-162422-0005:4", "lemma": "rudeness", "part_of_speech": "n", "split_group_id": "reviews-162422", "token_indices": [4]}
Somewhere in between his rudeness he [TARGET] asked [/TARGET] if we smoked .
v.communication
{"id": "reviews-162422-0005:6", "lemma": "ask", "part_of_speech": "v", "split_group_id": "reviews-162422", "token_indices": [6]}
Somewhere in between his rudeness he asked if we [TARGET] smoked [/TARGET] .
v.body
{"id": "reviews-162422-0005:9", "lemma": "smoke", "part_of_speech": "v", "split_group_id": "reviews-162422", "token_indices": [9]}
I [TARGET] asked [/TARGET] if this hotel had smoking rooms .
v.communication
{"id": "reviews-162422-0006:1", "lemma": "ask", "part_of_speech": "v", "split_group_id": "reviews-162422", "token_indices": [1]}
I asked if this [TARGET] hotel [/TARGET] had smoking rooms .
n.GROUP
{"id": "reviews-162422-0006:4", "lemma": "hotel", "part_of_speech": "n", "split_group_id": "reviews-162422", "token_indices": [4]}
I asked if this hotel [TARGET] had [/TARGET] smoking rooms .
v.stative
{"id": "reviews-162422-0006:5", "lemma": "have", "part_of_speech": "v", "split_group_id": "reviews-162422", "token_indices": [5]}
I asked if this hotel had [TARGET] smoking [/TARGET] rooms .
n.ACT
{"id": "reviews-162422-0006:6", "lemma": "smoking", "part_of_speech": "n", "split_group_id": "reviews-162422", "token_indices": [6]}
I asked if this hotel had smoking [TARGET] rooms [/TARGET] .
n.ARTIFACT
{"id": "reviews-162422-0006:7", "lemma": "room", "part_of_speech": "n", "split_group_id": "reviews-162422", "token_indices": [7]}
He immediately [TARGET] said [/TARGET] " no , there is a $ 50 deposit now ! "
v.communication
{"id": "reviews-162422-0007:2", "lemma": "say", "part_of_speech": "v", "split_group_id": "reviews-162422", "token_indices": [2]}
He immediately said " no , there [TARGET] is [/TARGET] a $ 50 deposit now ! "
v.stative
{"id": "reviews-162422-0007:7", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-162422", "token_indices": [7]}
He immediately said " no , there is a $ 50 [TARGET] deposit [/TARGET] now ! "
n.POSSESSION
{"id": "reviews-162422-0007:11", "lemma": "deposit", "part_of_speech": "n", "split_group_id": "reviews-162422", "token_indices": [11]}
Sure enough he [TARGET] charged [/TARGET] it to the credit card .
v.possession
{"id": "reviews-162422-0008:3", "lemma": "charge", "part_of_speech": "v", "split_group_id": "reviews-162422", "token_indices": [3]}
Sure enough he charged it to the [TARGET] credit [/TARGET] [TARGET] card [/TARGET] .
n.POSSESSION
{"id": "reviews-162422-0008:7,8", "lemma": "credit card", "part_of_speech": "n", "split_group_id": "reviews-162422", "token_indices": [7, 8]}
When I [TARGET] inquired [/TARGET] he rudely replied " in the morning when things are checked out you 'll get it back . "
v.communication
{"id": "reviews-162422-0009:2", "lemma": "inquire", "part_of_speech": "v", "split_group_id": "reviews-162422", "token_indices": [2]}
When I inquired he rudely [TARGET] replied [/TARGET] " in the morning when things are checked out you 'll get it back . "
v.communication
{"id": "reviews-162422-0009:5", "lemma": "reply", "part_of_speech": "v", "split_group_id": "reviews-162422", "token_indices": [5]}
When I inquired he rudely replied " in the [TARGET] morning [/TARGET] when things are checked out you 'll get it back . "
n.TIME
{"id": "reviews-162422-0009:9", "lemma": "morning", "part_of_speech": "n", "split_group_id": "reviews-162422", "token_indices": [9]}
When I inquired he rudely replied " in the morning when [TARGET] things [/TARGET] are checked out you 'll get it back . "
n.ARTIFACT
{"id": "reviews-162422-0009:11", "lemma": "thing", "part_of_speech": "n", "split_group_id": "reviews-162422", "token_indices": [11]}
When I inquired he rudely replied " in the morning when things are checked out you 'll [TARGET] get [/TARGET] it back . "
v.stative
{"id": "reviews-162422-0009:17", "lemma": "get", "part_of_speech": "v", "split_group_id": "reviews-162422", "token_indices": [17]}
When I inquired he rudely replied " in the morning when things are [TARGET] checked [/TARGET] [TARGET] out [/TARGET] you 'll get it back . "
v.social
{"id": "reviews-162422-0009:13,14", "lemma": "check out", "part_of_speech": "v", "split_group_id": "reviews-162422", "token_indices": [13, 14]}
I [TARGET] called [/TARGET] customer service about it because the website specifically states that there are no other charges at the check - in .
v.communication
{"id": "reviews-162422-0010:1", "lemma": "call", "part_of_speech": "v", "split_group_id": "reviews-162422", "token_indices": [1]}
I called customer service about it because the [TARGET] website [/TARGET] specifically states that there are no other charges at the check - in .
n.COMMUNICATION
{"id": "reviews-162422-0010:8", "lemma": "website", "part_of_speech": "n", "split_group_id": "reviews-162422", "token_indices": [8]}
I called customer service about it because the website specifically [TARGET] states [/TARGET] that there are no other charges at the check - in .
v.communication
{"id": "reviews-162422-0010:10", "lemma": "state", "part_of_speech": "v", "split_group_id": "reviews-162422", "token_indices": [10]}
I called customer service about it because the website specifically states that there [TARGET] are [/TARGET] no other charges at the check - in .
v.stative
{"id": "reviews-162422-0010:13", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-162422", "token_indices": [13]}
I called customer service about it because the website specifically states that there are no other [TARGET] charges [/TARGET] at the check - in .
n.POSSESSION
{"id": "reviews-162422-0010:16", "lemma": "charge", "part_of_speech": "n", "split_group_id": "reviews-162422", "token_indices": [16]}
I called [TARGET] customer [/TARGET] [TARGET] service [/TARGET] about it because the website specifically states that there are no other charges at the check - in .
n.GROUP
{"id": "reviews-162422-0010:2,3", "lemma": "customer service", "part_of_speech": "n", "split_group_id": "reviews-162422", "token_indices": [2, 3]}
I called customer service about it because the website specifically states that there are no other charges at the [TARGET] check [/TARGET] [TARGET] - [/TARGET] [TARGET] in [/TARGET] .
n.ACT
{"id": "reviews-162422-0010:19,20,21", "lemma": "check - in", "part_of_speech": "n", "split_group_id": "reviews-162422", "token_indices": [19, 20, 21]}
I also [TARGET] mentioned [/TARGET] to the reception person .
v.communication
{"id": "reviews-162422-0011:2", "lemma": "mention", "part_of_speech": "v", "split_group_id": "reviews-162422", "token_indices": [2]}
I also mentioned to the [TARGET] reception [/TARGET] person .
n.ACT
{"id": "reviews-162422-0011:5", "lemma": "reception", "part_of_speech": "n", "split_group_id": "reviews-162422", "token_indices": [5]}
I also mentioned to the reception [TARGET] person [/TARGET] .
n.PERSON
{"id": "reviews-162422-0011:6", "lemma": "person", "part_of_speech": "n", "split_group_id": "reviews-162422", "token_indices": [6]}
He [TARGET] responded [/TARGET] " we have problem with ' people ' " .
v.communication
{"id": "reviews-162422-0012:1", "lemma": "respond", "part_of_speech": "v", "split_group_id": "reviews-162422", "token_indices": [1]}
He responded " we [TARGET] have [/TARGET] problem with ' people ' " .
v.stative
{"id": "reviews-162422-0012:4", "lemma": "have", "part_of_speech": "v", "split_group_id": "reviews-162422", "token_indices": [4]}
He responded " we have [TARGET] problem [/TARGET] with ' people ' " .
n.COGNITION
{"id": "reviews-162422-0012:5", "lemma": "problem", "part_of_speech": "n", "split_group_id": "reviews-162422", "token_indices": [5]}
He responded " we have problem with ' [TARGET] people [/TARGET] ' " .
n.PERSON
{"id": "reviews-162422-0012:8", "lemma": "people", "part_of_speech": "n", "split_group_id": "reviews-162422", "token_indices": [8]}
[TARGET] Imagine [/TARGET] a hotel having problems with people .
v.cognition
{"id": "reviews-162422-0013:0", "lemma": "imagine", "part_of_speech": "v", "split_group_id": "reviews-162422", "token_indices": [0]}
Imagine a [TARGET] hotel [/TARGET] having problems with people .
n.GROUP
{"id": "reviews-162422-0013:2", "lemma": "hotel", "part_of_speech": "n", "split_group_id": "reviews-162422", "token_indices": [2]}
Imagine a hotel [TARGET] having [/TARGET] problems with people .
v.stative
{"id": "reviews-162422-0013:3", "lemma": "have", "part_of_speech": "v", "split_group_id": "reviews-162422", "token_indices": [3]}
Imagine a hotel having [TARGET] problems [/TARGET] with people .
n.COGNITION
{"id": "reviews-162422-0013:4", "lemma": "problem", "part_of_speech": "n", "split_group_id": "reviews-162422", "token_indices": [4]}
Imagine a hotel having problems with [TARGET] people [/TARGET] .
n.GROUP
{"id": "reviews-162422-0013:6", "lemma": "people", "part_of_speech": "n", "split_group_id": "reviews-162422", "token_indices": [6]}
I finally [TARGET] alerted [/TARGET] him to his rudeness .
v.communication
{"id": "reviews-162422-0014:2", "lemma": "alert", "part_of_speech": "v", "split_group_id": "reviews-162422", "token_indices": [2]}
I finally alerted him to his [TARGET] rudeness [/TARGET] .
n.ATTRIBUTE
{"id": "reviews-162422-0014:6", "lemma": "rudeness", "part_of_speech": "n", "split_group_id": "reviews-162422", "token_indices": [6]}
He [TARGET] said [/TARGET] he 's had a long and bad day .
v.communication
{"id": "reviews-162422-0015:1", "lemma": "say", "part_of_speech": "v", "split_group_id": "reviews-162422", "token_indices": [1]}
He said he 's [TARGET] had [/TARGET] a long and bad day .
v.stative
{"id": "reviews-162422-0015:4", "lemma": "have", "part_of_speech": "v", "split_group_id": "reviews-162422", "token_indices": [4]}
He said he 's had a long and bad [TARGET] day [/TARGET] .
n.TIME
{"id": "reviews-162422-0015:9", "lemma": "day", "part_of_speech": "n", "split_group_id": "reviews-162422", "token_indices": [9]}
We [TARGET] had [/TARGET] no choice but to stay but will take this as far as we can .
v.stative
{"id": "reviews-162422-0016:1", "lemma": "have", "part_of_speech": "v", "split_group_id": "reviews-162422", "token_indices": [1]}
We had no [TARGET] choice [/TARGET] but to stay but will take this as far as we can .
n.COGNITION
{"id": "reviews-162422-0016:3", "lemma": "choice", "part_of_speech": "n", "split_group_id": "reviews-162422", "token_indices": [3]}
We had no choice but to [TARGET] stay [/TARGET] but will take this as far as we can .
v.motion
{"id": "reviews-162422-0016:6", "lemma": "stay", "part_of_speech": "v", "split_group_id": "reviews-162422", "token_indices": [6]}
We had no choice but to stay but will [TARGET] take [/TARGET] this [TARGET] as [/TARGET] [TARGET] far [/TARGET] [TARGET] as [/TARGET] we [TARGET] can [/TARGET] .
v.social
{"id": "reviews-162422-0016:9,11,12,13,15", "lemma": "take as far as can", "part_of_speech": "v", "split_group_id": "reviews-162422", "token_indices": [9, 11, 12, 13, 15]}
Do n't [TARGET] stay [/TARGET] there .
v.social
{"id": "reviews-162422-0017:2", "lemma": "stay", "part_of_speech": "v", "split_group_id": "reviews-162422", "token_indices": [2]}
I [TARGET] came [/TARGET] to find out the person was the hotel OWNER also .
v.motion
{"id": "reviews-162422-0018:1", "lemma": "come", "part_of_speech": "v", "split_group_id": "reviews-162422", "token_indices": [1]}
I came to find out the [TARGET] person [/TARGET] was the hotel OWNER also .
n.PERSON
{"id": "reviews-162422-0018:6", "lemma": "person", "part_of_speech": "n", "split_group_id": "reviews-162422", "token_indices": [6]}
I came to find out the person [TARGET] was [/TARGET] the hotel OWNER also .
v.stative
{"id": "reviews-162422-0018:7", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-162422", "token_indices": [7]}
I came to find out the person was the [TARGET] hotel [/TARGET] OWNER also .
n.GROUP
{"id": "reviews-162422-0018:9", "lemma": "hotel", "part_of_speech": "n", "split_group_id": "reviews-162422", "token_indices": [9]}
I came to find out the person was the hotel [TARGET] OWNER [/TARGET] also .
n.PERSON
{"id": "reviews-162422-0018:10", "lemma": "owner", "part_of_speech": "n", "split_group_id": "reviews-162422", "token_indices": [10]}
I came to [TARGET] find [/TARGET] [TARGET] out [/TARGET] the person was the hotel OWNER also .
v.cognition
{"id": "reviews-162422-0018:3,4", "lemma": "find out", "part_of_speech": "v", "split_group_id": "reviews-162422", "token_indices": [3, 4]}
Highly [TARGET] Recommend [/TARGET]
v.communication
{"id": "reviews-162567-0001:1", "lemma": "recommend", "part_of_speech": "v", "split_group_id": "reviews-162567", "token_indices": [1]}
I have [TARGET] worked [/TARGET] with Shannon as my massage therapist and intuitive bodyworker for years and have never been disappointed .
v.social
{"id": "reviews-162567-0002:2", "lemma": "work", "part_of_speech": "v", "split_group_id": "reviews-162567", "token_indices": [2]}
I have worked with [TARGET] Shannon [/TARGET] as my massage therapist and intuitive bodyworker for years and have never been disappointed .
n.PERSON
{"id": "reviews-162567-0002:4", "lemma": "Shannon", "part_of_speech": "n", "split_group_id": "reviews-162567", "token_indices": [4]}
I have worked with Shannon as my massage therapist and intuitive [TARGET] bodyworker [/TARGET] for years and have never been disappointed .
n.PERSON
{"id": "reviews-162567-0002:11", "lemma": "bodyworker", "part_of_speech": "n", "split_group_id": "reviews-162567", "token_indices": [11]}
I have worked with Shannon as my massage therapist and intuitive bodyworker for [TARGET] years [/TARGET] and have never been disappointed .
n.TIME
{"id": "reviews-162567-0002:13", "lemma": "year", "part_of_speech": "n", "split_group_id": "reviews-162567", "token_indices": [13]}
I have worked with Shannon as my massage therapist and intuitive bodyworker for years and have never been [TARGET] disappointed [/TARGET] .
v.emotion
{"id": "reviews-162567-0002:18", "lemma": "disappoint", "part_of_speech": "v", "split_group_id": "reviews-162567", "token_indices": [18]}
I have worked with Shannon as my [TARGET] massage [/TARGET] [TARGET] therapist [/TARGET] and intuitive bodyworker for years and have never been disappointed .
n.PERSON
{"id": "reviews-162567-0002:7,8", "lemma": "massage therapist", "part_of_speech": "n", "split_group_id": "reviews-162567", "token_indices": [7, 8]}
No matter what [TARGET] state [/TARGET] I am in when I arrive , I always leave feeling better .
n.STATE
{"id": "reviews-162567-0003:3", "lemma": "state", "part_of_speech": "n", "split_group_id": "reviews-162567", "token_indices": [3]}
No matter what state I [TARGET] am [/TARGET] in when I arrive , I always leave feeling better .
v.stative
{"id": "reviews-162567-0003:5", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-162567", "token_indices": [5]}
No matter what state I am in when I [TARGET] arrive [/TARGET] , I always leave feeling better .
v.motion
{"id": "reviews-162567-0003:9", "lemma": "arrive", "part_of_speech": "v", "split_group_id": "reviews-162567", "token_indices": [9]}
No matter what state I am in when I arrive , I always [TARGET] leave [/TARGET] feeling better .
v.motion
{"id": "reviews-162567-0003:13", "lemma": "leave", "part_of_speech": "v", "split_group_id": "reviews-162567", "token_indices": [13]}
No matter what state I am in when I arrive , I always leave [TARGET] feeling [/TARGET] better .
v.body
{"id": "reviews-162567-0003:14", "lemma": "feel", "part_of_speech": "v", "split_group_id": "reviews-162567", "token_indices": [14]}
She has not only [TARGET] helped [/TARGET] me through some challenging computer - work and sports related injuries , she was wonderful to work with throughout my pregnancy and beyond .
v.cognition
{"id": "reviews-162567-0004:4", "lemma": "help", "part_of_speech": "v", "split_group_id": "reviews-162567", "token_indices": [4]}
She has not only helped me through some challenging [TARGET] computer [/TARGET] - work and sports related injuries , she was wonderful to work with throughout my pregnancy and beyond .
n.ARTIFACT
{"id": "reviews-162567-0004:9", "lemma": "computer", "part_of_speech": "n", "split_group_id": "reviews-162567", "token_indices": [9]}
She has not only helped me through some challenging computer - [TARGET] work [/TARGET] and sports related injuries , she was wonderful to work with throughout my pregnancy and beyond .
n.ACT
{"id": "reviews-162567-0004:11", "lemma": "work", "part_of_speech": "n", "split_group_id": "reviews-162567", "token_indices": [11]}
She has not only helped me through some challenging computer - work and [TARGET] sports [/TARGET] related injuries , she was wonderful to work with throughout my pregnancy and beyond .
n.COGNITION
{"id": "reviews-162567-0004:13", "lemma": "sport", "part_of_speech": "n", "split_group_id": "reviews-162567", "token_indices": [13]}
She has not only helped me through some challenging computer - work and sports [TARGET] related [/TARGET] injuries , she was wonderful to work with throughout my pregnancy and beyond .
v.cognition
{"id": "reviews-162567-0004:14", "lemma": "relate", "part_of_speech": "v", "split_group_id": "reviews-162567", "token_indices": [14]}
She has not only helped me through some challenging computer - work and sports related [TARGET] injuries [/TARGET] , she was wonderful to work with throughout my pregnancy and beyond .
n.EVENT
{"id": "reviews-162567-0004:15", "lemma": "injury", "part_of_speech": "n", "split_group_id": "reviews-162567", "token_indices": [15]}
She has not only helped me through some challenging computer - work and sports related injuries , she [TARGET] was [/TARGET] wonderful to work with throughout my pregnancy and beyond .
v.stative
{"id": "reviews-162567-0004:18", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-162567", "token_indices": [18]}
She has not only helped me through some challenging computer - work and sports related injuries , she was wonderful to [TARGET] work [/TARGET] with throughout my pregnancy and beyond .
v.social
{"id": "reviews-162567-0004:21", "lemma": "work", "part_of_speech": "v", "split_group_id": "reviews-162567", "token_indices": [21]}
She has not only helped me through some challenging computer - work and sports related injuries , she was wonderful to work with throughout my [TARGET] pregnancy [/TARGET] and beyond .
n.PROCESS
{"id": "reviews-162567-0004:25", "lemma": "pregnancy", "part_of_speech": "n", "split_group_id": "reviews-162567", "token_indices": [25]}
I highly [TARGET] recommend [/TARGET] her .
v.communication
{"id": "reviews-162567-0005:2", "lemma": "recommend", "part_of_speech": "v", "split_group_id": "reviews-162567", "token_indices": [2]}
For cheap Chinese [TARGET] food [/TARGET] , this is the place to go .
n.FOOD
{"id": "reviews-164580-0001:3", "lemma": "food", "part_of_speech": "n", "split_group_id": "reviews-164580", "token_indices": [3]}
For cheap Chinese food , this [TARGET] is [/TARGET] the place to go .
v.stative
{"id": "reviews-164580-0001:6", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-164580", "token_indices": [6]}
For cheap Chinese food , this is the [TARGET] place [/TARGET] to go .
n.GROUP
{"id": "reviews-164580-0001:8", "lemma": "place", "part_of_speech": "n", "split_group_id": "reviews-164580", "token_indices": [8]}
For cheap Chinese food , this is the place to [TARGET] go [/TARGET] .
v.motion
{"id": "reviews-164580-0001:10", "lemma": "go", "part_of_speech": "v", "split_group_id": "reviews-164580", "token_indices": [10]}
I used to [TARGET] eat [/TARGET] at places like New China or Green Buffet in Troy , MO - nothing terrible but not that great .
v.consumption
{"id": "reviews-164580-0002:3", "lemma": "eat", "part_of_speech": "v", "split_group_id": "reviews-164580", "token_indices": [3]}
I used to eat at [TARGET] places [/TARGET] like New China or Green Buffet in Troy , MO - nothing terrible but not that great .
n.GROUP
{"id": "reviews-164580-0002:5", "lemma": "place", "part_of_speech": "n", "split_group_id": "reviews-164580", "token_indices": [5]}
I used to eat at places like New China or Green Buffet in [TARGET] Troy [/TARGET] , MO - nothing terrible but not that great .
n.LOCATION
{"id": "reviews-164580-0002:13", "lemma": "Troy", "part_of_speech": "n", "split_group_id": "reviews-164580", "token_indices": [13]}
I used to eat at places like New China or Green Buffet in Troy , [TARGET] MO [/TARGET] - nothing terrible but not that great .
n.LOCATION
{"id": "reviews-164580-0002:15", "lemma": "MO", "part_of_speech": "n", "split_group_id": "reviews-164580", "token_indices": [15]}